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Record W565570145

HOW CPR DEFINES SCHEDULED RAILROADING

2003· article· en· W565570145 on OpenAlexaboutno aff
Frank Malone

Bibliographic record

VenueRailway age · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicTransport and Economic Policies
Canadian institutionsnot available
Fundersnot available
KeywordsYardTonnageDOCKTrainScheduleTransport engineeringTrack (disk drive)WorkloadExpeditingPlan (archaeology)Freight trainsTelecommunicationsOperations managementEngineeringOperations researchComputer scienceMarine engineering
DOInot available

Abstract

fetched live from OpenAlex

The article reviews the operation initiated by Canadian Pacific Railway to help become a highly scheduled carrier and a more aggressive marketer. The company, one of the smallest Class I railroads and as such the most dependent on connections with the others, now relies on an Integrated Operating Plan that moves all trains on schedule regardless of tonnage. Blocking loads and aggregating blocks to move as a single unit bypassing yards, the IOP encompasses schedules for: empty cars to fill customer's orders; loaded cars in dock-to-dock movements; trains in all main line corridors; workload at yards and intermodal terminals; and track and locomotive maintenance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.005
Science and technology studies0.0030.004
Scholarly communication0.0090.011
Open science0.0020.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0220.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.197
Teacher spread0.174 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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